基于麦克斯韦位移电流的屏幕传感器用于三维手势识别机理与方法

触摸屏传感器作为一种重要的人机交互传感器，目前广泛应用于智能手机等个人移动终端，但传统电容式触摸屏传感器的工作原理依赖于手指与屏幕的接触，只能识别触摸和滑动等二维手势类型。针对此问题，本项目拟研究基于麦克斯韦位移电流原理的屏幕传感器，以非接触的方式实现三维手势识别。通过建立基于麦克斯韦位移电流屏幕传感器的三维手势识别理论模型，揭示其三维手势识别的机理。同时分析具有不同电荷传输特性的屏幕传感器材料产生的电流信号特征，阐明材料的电荷传输特性对于麦克斯韦位移电流的影响规律。结合理论建模和电学测试，揭示屏幕传感器的结构设计对输出信号的影响机制并建立优化方法。研究并阐明环境和人为差异因素对屏幕传感器输出信号的影响规律，通过构建传感器阵列的多路信号处理分析系统，对环境和人为差异因素的影响进行优化。本项目的研究有望为发展用于三维手势识别的新型屏幕传感器提供理论和方法支持。

As an important human-machine interaction (HMI) sensor, the touch screen sensor has been widely applied in personal portable devices such as smart phones. However, the working principle of traditional capacitive touch screen sensor depends on the contact between the finger and screen, which can only recognize two-dimensional gesture types such as touching and sliding. Aiming at this problem, this project is planning to investigate the screen sensor based on the principle of Maxwell’s displacement current, and realize the three-dimensional (3D) gesture recognition in a noncontact operating mode. Through establishing the theoretical model of 3D gesture recognition based on the Maxwell's displacement current screen sensor, its mechanism of 3D gesture recognition will be revealed. Meanwhile, the characteristic of the current signal generated by the screen sensor materials with different charge transfer properties will be analyzed, and the influence of material's charge transfer characteristic on the Maxwell’s displacement current will be clarified. Combined with the theoretical model and electrical measurement, the influence mechanism of the structure design of screen sensor on the output signals will be revealed, and the optimization method will be established. The effects of environmental and individual differences on the output signals of screen sensor will be studied and clarified. And a multi-channel signal processing and analysis system of the sensor array will be constructed to optimize the influence of environment and individual differences. This project could provide theoretical and methodological support to develop the new type of screen sensors for 3D gesture recognition.